Q-omics provides the consensus-scored ZRANB1 profile across patient tissues and cancer cell-line models. ZRANB1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ZRANB1 is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, ZRANB1 RNA expression shows 20,962 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and THCA as cancer lineages where ZRANB1 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for ZRANB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZRANB1 survival associations across molecular data types. ZRANB1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZRANB1 RNA expression–survival associations across cancer types. High ZRANB1 expression shows unfavorable associations in ACC, BLCA and CESC, but favorable associations in KIRC, LGG and BRCA. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for ZRANB1 RNA expression.
This table summarizes ZRANB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 1. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for ZRANB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZRANB1 shows lower tumor expression in THCA, BRCA, KICH, BLCA, KIRP and KIRC. The THCA box plot shows higher ZRANB1 RNA expression in normal versus tumor tissue (log2 FC = −0.844, t-test p < 0.001).
This table shows molecular features associated with ZRANB1 in patient tissues and cancer cell lines. In patient samples, ZRANB1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, ZRANB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BREAST and LARGE_INTESTINE.
